hvlgo

/

resnet18

like 0

• "__torch__.iotdb.mlnode.algorithm.models.forecast.dlinear.___torch_mangle_104.MovingAverageBlock",
• "torch.FloatStorage",
• "__torch__.iotdb.mlnode.algorithm.models.forecast.dlinear.___torch_mangle_108.DLinear",
• "__torch__.torch.nn.modules.pooling.___torch_mangle_103.AvgPool1d",
• "__torch__.torch.nn.modules.linear.___torch_mangle_106.Linear",
• "collections.OrderedDict",
• "__torch__.torch.nn.modules.linear.___torch_mangle_107.Linear",
• "torch._utils._rebuild_tensor_v2",
• "__torch__.iotdb.mlnode.algorithm.models.forecast.dlinear.___torch_mangle_105.SeriesDecompositionBlock",
• "torch._utils._rebuild_tensor_v2",
• "torch.jit._pickle.restore_type_tag",
• "collections.OrderedDict",
• "torch.FloatStorage"

How to fix it?

• "torch.nn.modules.activation.ReLU",
• "torch.nn.modules.container.ModuleList",
• "transformers.models.resnet.configuration_resnet.ResNetConfig",
• "transformers.models.resnet.modeling_resnet.ResNetShortCut",
• "torch.nn.modules.batchnorm.BatchNorm2d",
• "collections.OrderedDict",
• "torch.nn.modules.pooling.MaxPool2d",
• "transformers.models.resnet.modeling_resnet.ResNetEncoder",
• "torch.nn.modules.container.Sequential",
• "__builtin__.set",
• "transformers.models.resnet.modeling_resnet.ResNetConvLayer",
• "torch._utils._rebuild_parameter",
• "torch.float32",
• "torch.FloatStorage",
• "torch._utils._rebuild_tensor_v2",
• "transformers.models.resnet.modeling_resnet.ResNetBottleNeckLayer",
• "torch.nn.modules.pooling.AdaptiveAvgPool2d",
• "transformers.models.resnet.modeling_resnet.ResNetModel",
• "transformers.models.resnet.modeling_resnet.ResNetStage",
• "torch.nn.modules.conv.Conv2d",
• "torch.LongStorage",
• "torch.nn.modules.linear.Identity",
• "transformers.models.resnet.modeling_resnet.ResNetEmbeddings"

How to fix it?